Yu Qiao

Affiliations:

Shanghai AI Laboratory, China

According to our database¹, Yu Qiao authored at least 77 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Latte: Latent Diffusion Transformer for Video Generation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Knowledge-driven Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation.

[BibT_eX]

[DOI]

CoRR, 2023

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Asymmetric Masked Distillation for Pre-Training Small Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation.

[BibT_eX]

[DOI]

CoRR, 2023

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

[BibT_eX]

[DOI]

CoRR, 2023

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Data Generation in Vision-and-Language Navigation.

[BibT_eX]

[DOI]

CoRR, 2023

Meta-Transformer: A Unified Framework for Multimodal Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.

[BibT_eX]

[DOI]

CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Align, Adapt and Inject: Sound-guided Unified Image Generation.

[BibT_eX]

[DOI]

CoRR, 2023

LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2023

Denoising Diffusion Semantic Segmentation with Mask Prior Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset.

[BibT_eX]

[DOI]

CoRR, 2023

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

[BibT_eX]

[DOI]

CoRR, 2023

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

VideoChat: Chat-Centric Video Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

InternGPT: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language.

[BibT_eX]

[DOI]

CoRR, 2023

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

[BibT_eX]

[DOI]

CoRR, 2023

Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Topology Reasoning for Driving Scenes.

[BibT_eX]

[DOI]

CoRR, 2023

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

[BibT_eX]

[DOI]

CoRR, 2023

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion.

[BibT_eX]

[DOI]

CoRR, 2023

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Long-Term Rhythmic Video Soundtracker.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Vision Transformer Adapter for Dense Predictions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Stare at What You See: Masked Image Modeling without Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Goal-oriented Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information.

[BibT_eX]

[DOI]

CoRR, 2022

InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges.

[BibT_eX]

[DOI]

CoRR, 2022

Demystify Transformers & Convolutions in Modern Image Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.

[BibT_eX]

[DOI]

CoRR, 2022

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot.

[BibT_eX]

[DOI]

CoRR, 2022

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

ConvMAE: Masked Convolution Meets Masked Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MCMAE: Masked Convolution Meets Masked Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Frozen CLIP Models are Efficient Video Learners.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

INTERN: A New Learning Paradigm Towards General Vision.

[BibT_eX]

[DOI]

CoRR, 2021

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Transformers for Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2021

2019

AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

P2SGrad: Refined Gradients for Optimizing Deep Face Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016

Bridging Music and Image via Cross-Modal Ranking Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2016

2012

Cross matching of music and image.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Yu Qiao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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